159 research outputs found

    Equalization-Based Digital Background Calibration Technique for Pipelined ADCs

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    In this paper, we present a digital background calibration technique for pipelined analog-to-digital converters (ADCs). In this scheme, the capacitor mismatch, residue gain error, and amplifier nonlinearity are measured and then corrected in digital domain. It is based on the error estimation with nonprecision calibration signals in foreground mode, and an adaptive linear prediction structure is used to convert the foreground scheme to the background one. The proposed foreground technique utilizes the LMS algorithm to estimate the error coefficients without needing high-accuracy calibration signals. Several simulation results in the context of a 12-b 100-MS/s pipelined ADC are provided to verify the usefulness of the proposed calibration technique. Circuit-level simulation results show that the ADC achieves 28-dB signal-to-noise and distortion ratio and 41-dB spurious-free dynamic range improvement, respectively, compared with the noncalibrated ADC

    Methodology for testing high-performance data converters using low-accuracy instruments

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    There has been explosive growth in the consumer electronics market during the last decade. As the IC industry is shifting from PC-centric to consumer electronics-centric, digital technologies are no longer solving all the problems. Electronic devices integrating mixed-signal, RF and other non-purely digital functions are becoming new challenges to the industry. When digital testing has been studied for long time, testing of analog and mixed-signal circuits is still in its development stage. Existing solutions have two major problems. First, high-performance mixed-signal test equipments are expensive and it is difficult to integrate their functions on chip. Second, it is challenging to improve the test capability of existing methods to keep up with the fast-evolving performance of mixed-signal products demanded on the market. The International Technology Roadmap for Semiconductors identified mixed-signal testing as one of the most daunting system-on-a-chip challenges;My works have been focused on developing new strategies for testing the analog-to-digital converter (ADC) and digital-to-analog converter (DAC). Different from conventional methods that require test instruments to have better performance than the device under test, our algorithms allow the use of medium and low-accuracy instruments in testing. Therefore, we can provide practical and accurate test solutions for high-performance data converters. Meanwhile, the test cost is dramatically reduced because of the low price of such test instruments. These algorithms have the potential for built-in self-test and can be generalized to other mixed-signal circuitries. When incorporated with self-calibration, these algorithms can enable new design techniques for mixed-signal integrated circuits. Following contents are covered in the dissertation:;(1) A general stimulus error identification and removal (SEIR) algorithm that can test high-resolution ADCs using two low-linearity signals with a constant offset in between; (2) A center-symmetric interleaving (CSI) strategy for generating test signals to be used with the SEIR algorithm; (3) An architecture-based test algorithm for high-performance pipelined or cyclic ADCs using a single nonlinear stimulus; (4) Using Kalman Filter to improve the efficiency of ADC testing; and (5) A testing algorithm for high-speed high-resolution DACs using low-resolution ADCs with dithering

    Design of a Cost-Efficient Reconfigurable Pipeline ADC

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    Power budget is very critical in the design of battery-powered implantable biomedical instruments. High speed, high resolution and low power usually cannot be achieved at the same time. Therefore, a tradeoff must be made to compromise every aspect of those features. As the main component of the bioinstrument, high conversion rate, high resolution ADC consumes most of the power. Fortunately, based on the operation modes of the bioinstrument, a reconfigurable ADC can be used to solve this problem. The reconfigurable ADC will operate at 10-bit 40 MSPS for the diagnosis mode and at 8-bit 2.5 MSPS for the monitor mode. The ADC will be completely turned off if no active signal comes from sensors or if an off command is received from the antenna. By turning off the sample hold stage and the first two stages of the pipeline ADC, a significant power saving is achieved. However, the reconfigurable ADC suffers from two drawbacks. First, the leakage signals through the extra off-state switches in the third stage degrade the performance of the data converter. This situation tends to be even worse for high speed and high-resolution applications. An interference elimination technique has been proposed in this work to solve this problem. Simulation results show a significant attenuation of the spurious tones. Moreover, the transistors in the OTA tend to operate in weak inversion region due to the scaling of the bias current. The transistor in subthreshold is very slow due to the small transit frequency. In order to get a better tradeoff between the transconductance efficiency and the transit frequency, reconfigurable OTAs and scalable bias technique are devised to adjust the operating point from weak inversion to moderate inversion. The figure of merit of the reconfigurable ADC is comparable to the previously published conventional pipeline ADCs. For the 10-bit, 40 MSPS mode, the ADC attains a 56.9 dB SNDR for 35.4 mW power consumption. For the 8-bit 2.5 MSPS mode, the ADC attains a 49.2 dB SNDR for 7.9 mW power consumption. The area for the core layout is 1.9 mm2 for a 0.35 micrometer process

    A re-configurable pipeline ADC architecture with built-in self-test techniques

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    High-performance analog and mixed-signal integrated circuits are integral parts of today\u27s and future networking and communication systems. The main challenge facing the semiconductor industry is the ability to economically produce these analog ICs. This translates, in part, into the need to efficiently evaluate the performance of such ICs during manufacturing (production testing) and to come up with dynamic architectures that enable the performance of these ICs to be maximized during manufacturing and later when they\u27re operating in the field. On the performance evaluation side, this dissertation deals with the concept of Built-In-Self-Test (BIST) to allow the efficient and economical evaluation of certain classes of high-performance analog circuits. On the dynamic architecture side, this dissertation deals with pipeline ADCs and the use of BIST to dynamically, during production testing or in the field, re-configure them to produce better performing ICs.;In the BIST system proposed, the analog test signal is generated on-chip by sigma-delta modulation techniques. The performance of the ADC is measured on-chip by a digital narrow-band filter. When this system is used on the wafer level, significant testing time and thus testing cost can be saved.;A re-configurable pipeline ADC architecture to improve the dynamic performance is proposed. Based on dynamic performance measurements, the best performance configuration is chosen from a collection of possible pipeline configurations. This basic algorithm can be applied to many pipeline analog systems. The proposed grouping algorithm cuts down the number of evaluation permutation from thousands to 18 for a 9-bit ADC thus allowing the method to be used in real applications.;To validate the developments of this dissertation, a 40MS/s 9-bit re-configurable pipeline ADC was designed and implemented in TSMC\u27s 0.25mum single-poly CMOS digital process. This includes a fully differential folded-cascode gain-boosting operational amplifier with high gain and high unity-gain bandwidth. The experimental results strongly support the effectiveness of reconfiguration algorithm, which provides an average of 0.5bit ENOB improvement among the set of configurations. For many applications, this is a very significant performance improvement.;The BIST and re-configurability techniques proposed are not limited to pipeline ADCs only. The BIST methodology is applicable to many analog systems and the re-configurability is applicable to any analog pipeline system

    A 2.2 fJ/Conversion-Step 9.74-ENOB 10 MS/s SAR ADC With 1.5×Input Range

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    This brief presents a 10.5-bit 10 MS/s successive-approximation-register (SAR) analog-to-digital converter (ADC) with 1.5times input range (IR). By pre-setting and resetting the most significant bit (MSB) of the digital-to-analog converter (DAC) to shift the input signal accordingly, the input range of the ADC is enhanced by a factor of 1.5. This effectively relaxes the noise requirement and thus improves the power efficiency of the ADC. The prototype implemented in 65-nm CMOS technology achieves a signal-to-noise-and-distortion ratio (SNDR) of 60.37 dB and a spurious-free dynamic range (SFDR) of 82.2 dB. It consumes 18.65~mu text{W} at 10 MS/s with a 0.8V supply and only occupies an area of 0.0013 mm2. The resulting Walden figure of merit (FoM _{W} ) is 2.2 fJ/conversion-step.</p

    Analyses and design strategies for fundamental enabling building blocks: Dynamic comparators, voltage references and on-die temperature sensors

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    Dynamic comparators and voltage references are among the most widely used fundamental building blocks for various types of circuits and systems, such as data converters, PLLs, switching regulators, memories, and CPUs. As thermal constraints quickly emerged as a dominant performance limiter, on-die temperature sensors will be critical to the reliable operation of future integrated circuits. This dissertation investigates characteristics of these three enabling circuits and design strategies for improving their performances. One of the most critical specifications of a dynamic comparator is its input referred offset voltage, which is pivotal to achieving overall system performance requirements of many mixed-signal circuits and systems. Unlike offset voltages in other circuits such as amplifiers, the offset voltage in a dynamic comparator is extremely challenging to analyze and predict analytically due to its dependence on transient response and due to internal positive feedback and time-varying operating points in the comparator. In this work, a novel balanced method is proposed to facilitate the evaluation of time-varying operating points of transistors in a dynamic comparator. Two types of offsets are studied in the model: (1) static offset voltage caused by mismatches in mobilities, transistor sizes, and threshold voltages, and (2) dynamic offset voltage caused by mismatches in parasitic capacitors or loading capacitors. To validate the proposed method, dynamic comparators in two prevalent topologies are implemented in 0.25 μm and 40 nm CMOS technologies. Agreement between predicted results and simulated results verifies the effectiveness of the proposed method. The new method and the analytical models enable designers to identify the most dominant contributors to offset and to optimize the dynamic comparators\u27 performances. As an illustrating example, the Lewis-Gray dynamic comparator was analyzed using the balanced method and redesigned to minimize its offset voltage. Simulation results show that the offset voltage was easily reduced by 41% while maintaining the same silicon area. A bandgap voltage reference is one of the core functional blocks in both analog and digital systems. Despite the reported improvements in performance of voltage references, little attention has been focused on theoretical characterizations of non-ideal effects on the value of the output voltage, on the inflection point location and on the curvature of the reference voltage. In this work, a systematic approach is proposed to analytically determine the effects of two non-ideal elements: the temperature dependent gain-determining resistors and the amplifier offset voltage. The effectiveness of the analytical models is validated by comparing analytical results against Spectre simulation results. Research on on-die temperature sensor design has received rapidly increasing attention since component and power density induced thermal stress has become a critical factor in the reliable operation of integrated circuits. For effective power and thermal management of future multi-core systems, hundreds of sensors with sufficient accuracy, small area and low power are required on a single chip. This work introduces a new family of highly linear on chip temperature sensors. The proposed family of temperature sensors expresses CMOS threshold voltage as an output. The sensor output is independent of power supply voltage and independent of mobility values. It can achieve very high temperature linearity, with maximum nonlinearity around +/- 0.05oC over a temperature range of -20oC to 100oC. A sizing strategy based on combined analytical analysis and numerical optimization has been presented. Following this method, three circuits A, B and C have been designed in standard 0.18 ym CMOS technology, all achieving excellent linearity as demonstrated by Cadence Spectre simulations. Circuits B and C are the modified versions of circuit A, and have improved performance at the worst corner-low voltage supply and high threshold voltage corner. Finally, a direct temperature-to-digital converter architecture is proposed as a master-slave hybrid temperature-to-digital converter. It does not require any traditional constant reference voltage or reference current, it does not attempt to make any node voltage or branch current constant or precisely linear to temperature, yet it generates a digital output code that is very linear with temperature

    A jittered-sampling correction technique for ADCs

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    In Analogue to Digital Converters (ADCs) jittered sampling raises the noise floor; this leads to a decrease in its Signal to Noise ratio (SNR) and its effective number of bits (ENOB). This research studies a technique that compensate for the effects of sampling with a jittered clock. A thorough understanding of sampling in various data converters is complied

    Design, analysis and optimization of a dynamically reconfi gurable regenerative comparator for ultra-low power 6-bit TC-ADCs in 90nm CMOS technology

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    In this work the threshold configurable regenerative comparator on which TC-ADCs are based is optimized to further reduce the power consumption for use in battery-less biomedical sensor applications.\nMoreover, the effect of device mismatches on the offset, gain and linearity errors of the ADC is analyzed by means of Monte Carlo simulations.\nThis optimized comparator reduces the power consumption from 13uW to 3uW, while maintaining the same full scale rang

    Design-for-Test of Mixed-Signal Integrated Circuits

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